Graph Embedding for Pattern Analysis
Springer-Verlag New York Inc.
978-1-4899-9062-4 (ISBN)
Dr. Yun Fu is a professor at the State University of New York at Buffalo Dr. Yunqian Ma is a senior principal research scientist of Honeywell Labs at the Honeywell International Inc.
Multilevel Analysis of Attributed Graphs for Explicit Graph Embedding in Vector Spaces.- Feature Grouping and Selection over an Undirected Graph.- Median Graph Computation by Means of Graph Embedding into Vector Spaces.- Patch Alignment for Graph Embedding.- Feature Subspace Transformations for Enhancing K-Means Clustering.- Learning with ℓ1-Graph for High Dimensional Data Analysis.- Graph-Embedding Discriminant Analysis on Riemannian Manifolds for Visual Recognition.- A Flexible and Effective Linearization Method for Subspace Learning.- A Multi-Graph Spectral Approach for Mining Multi-Source Anomalies.- Graph Embedding for Speaker Recognition.
Erscheint lt. Verlag | 13.12.2014 |
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Zusatzinfo | VIII, 260 p. |
Verlagsort | New York |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Technik ► Elektrotechnik / Energietechnik | |
Technik ► Nachrichtentechnik | |
Schlagworte | computer vision • dimensionality reduction • discriminant analysis • graph embedding • Hypergraph • machine learning • manifold learning • pattern recognition • subspace learning |
ISBN-10 | 1-4899-9062-3 / 1489990623 |
ISBN-13 | 978-1-4899-9062-4 / 9781489990624 |
Zustand | Neuware |
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